Researchers at Cincinnati Children’s Hospital Medical Center present a computational heterogeneous data integration and mining protocol that combines transcriptional signatures from multiple model systems, protein-protein interactions, single-cell RNA-seq markers, and phenotype-genotype associations to identify functional feature complexes. These feature modules represent a higher order multifeatured machines collectively working toward common pathophysiological goals. The researchers apply this protocol for functional characterization of COVID-19, but it could be applied to many other diseases.
Standard transcriptomic analyses cannot fully capture the molecular mechanisms underlying disease pathophysiology and outcomes
Ghandikota S, Sharma M, Jegga AG. (2021) Computational workflow for functional characterization of COVID-19 through secondary data analysis. STAR Protoc 2(4):100873. [article]